History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"warp"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
995 | 2025-08-29 14:31:19 | warp | 1 | 13983 | 17 | 0.220 | 63559.1 |
994 | 2025-08-25 10:35:08 | warp | 1 | 13983 | 17 | 1.686 | 8293.6 |
993 | 2025-08-13 22:52:06 | warp | 1 | 13983 | 17 | 0.233 | 60012.9 |
992 | 2025-08-11 18:51:09 | warp | 1 | 13983 | 17 | 0.906 | 15433.8 |
991 | 2025-08-09 12:58:51 | warp | 1 | 13983 | 17 | 1.110 | 12597.3 |
990 | 2025-08-04 17:23:49 | warp | 2 | 29872 | 277 | 4.563 | 6546.6 |
989 | 2025-08-02 07:03:41 | warp | 2 | 29872 | 277 | 1.826 | 16359.3 |
988 | 2025-08-01 22:56:49 | warp | 1 | 13983 | 17 | 1.330 | 10513.5 |
987 | 2025-08-01 00:05:17 | warp | 1 | 13983 | 17 | 0.890 | 15711.2 |
986 | 2025-07-31 00:10:56 | warp | 1 | 13983 | 17 | 0.263 | 53167.3 |
985 | 2025-07-30 23:56:58 | warp | 1 | 13983 | 17 | 0.750 | 18644.0 |
984 | 2025-07-26 03:56:50 | warp | 1 | 13983 | 17 | 0.220 | 63559.1 |
983 | 2025-07-24 14:44:01 | warp | 1 | 13983 | 17 | 1.470 | 9512.2 |
982 | 2025-07-22 08:29:32 | warp | 1 | 13983 | 17 | 1.000 | 13983.0 |
981 | 2025-07-12 15:52:02 | warp | 1 | 13983 | 17 | 0.296 | 47239.9 |
980 | 2025-07-08 11:59:35 | warp | 1 | 13983 | 17 | 1.080 | 12947.2 |
979 | 2025-07-01 23:15:56 | warp | 1 | 13983 | 17 | 0.673 | 20777.1 |
978 | 2025-07-01 14:47:23 | warp | 1 | 13983 | 17 | 0.250 | 55932.0 |
977 | 2025-06-30 17:43:46 | warp | 2 | 29872 | 277 | 4.500 | 6638.2 |
976 | 2025-06-30 13:06:24 | warp | 1 | 13983 | 17 | 0.296 | 47239.9 |
975 | 2025-06-30 08:34:53 | warp | 2 | 29872 | 277 | 4.063 | 7352.2 |
974 | 2025-06-28 16:42:57 | warp | 2 | 29872 | 277 | 5.483 | 5448.1 |
973 | 2025-06-25 22:05:18 | warp | 1 | 13983 | 17 | 1.296 | 10789.4 |
972 | 2025-06-20 02:52:37 | warp | 2 | 29872 | 277 | 2.186 | 13665.1 |
971 | 2025-06-19 00:28:43 | warp | 2 | 29872 | 277 | 3.283 | 9099.0 |
970 | 2025-06-16 02:59:57 | warp | 1 | 13983 | 17 | 0.263 | 53167.3 |
969 | 2025-06-15 12:01:32 | warp | 1 | 13983 | 17 | 0.250 | 55932.0 |
968 | 2025-06-15 06:04:20 | warp | 1 | 13983 | 17 | 0.263 | 53167.3 |
967 | 2025-06-14 08:02:47 | warp | 1 | 13983 | 17 | 0.966 | 14475.2 |
966 | 2025-06-11 02:48:28 | warp | 2 | 29872 | 277 | 4.190 | 7129.4 |
965 | 2025-06-02 23:26:59 | warp | 1 | 13983 | 17 | 0.500 | 27966.0 |
964 | 2025-05-31 22:27:44 | warp | 1 | 13983 | 17 | 2.000 | 6991.5 |
963 | 2025-05-30 09:51:12 | warp | 1 | 13983 | 17 | 1.330 | 10513.5 |
962 | 2025-05-30 06:43:44 | warp | 1 | 13983 | 17 | 0.280 | 49939.3 |
961 | 2025-05-29 03:14:02 | warp | 2 | 29872 | 277 | 4.546 | 6571.1 |
960 | 2025-05-26 23:01:08 | warp | 1 | 13983 | 17 | 1.203 | 11623.4 |
959 | 2025-05-26 19:36:23 | warp | 1 | 13983 | 17 | 1.126 | 12418.3 |
958 | 2025-05-25 22:37:53 | warp | 1 | 13983 | 17 | 1.156 | 12096.0 |
957 | 2025-05-22 20:47:31 | warp | 2 | 29872 | 277 | 0.906 | 32971.3 |
956 | 2025-05-22 03:50:13 | warp | 2 | 29872 | 277 | 6.673 | 4476.5 |
955 | 2025-05-21 19:58:31 | warp | 1 | 13983 | 17 | 1.156 | 12096.0 |
954 | 2025-05-20 23:05:48 | warp | 2 | 29872 | 277 | 2.436 | 12262.7 |
953 | 2025-05-20 12:05:02 | warp | 1 | 13983 | 17 | 1.423 | 9826.4 |
952 | 2025-05-16 03:31:17 | warp | 1 | 13983 | 17 | 1.033 | 13536.3 |
951 | 2025-05-15 21:11:23 | warp | 1 | 13983 | 17 | 1.296 | 10789.4 |
950 | 2025-05-10 08:21:42 | warp | 2 | 29872 | 277 | 4.640 | 6437.9 |
949 | 2025-05-10 04:27:24 | warp | 1 | 13983 | 17 | 1.390 | 10059.7 |
948 | 2025-05-09 21:41:12 | warp | 1 | 13983 | 17 | 1.076 | 12995.4 |
947 | 2025-05-09 02:00:41 | warp | 2 | 29872 | 277 | 0.750 | 39829.3 |
946 | 2025-05-08 17:33:22 | warp | 2 | 29872 | 277 | 3.670 | 8139.5 |
945 | 2025-05-08 11:57:36 | warp | 1 | 13983 | 17 | 0.280 | 49939.3 |
944 | 2025-05-08 00:00:04 | warp | 1 | 13983 | 17 | 1.653 | 8459.2 |
943 | 2025-05-07 11:06:01 | warp | 2 | 29872 | 277 | 0.970 | 30795.9 |
942 | 2025-05-05 17:09:26 | warp | 1 | 13983 | 17 | 0.233 | 60012.9 |
941 | 2025-05-04 21:35:19 | warp | 2 | 29872 | 277 | 2.690 | 11104.8 |
940 | 2025-05-03 20:38:45 | warp | 1 | 13983 | 17 | 1.080 | 12947.2 |
939 | 2025-05-01 21:22:50 | warp | 1 | 13983 | 17 | 1.936 | 7222.6 |
938 | 2025-04-30 11:58:37 | warp | 1 | 13983 | 17 | 1.593 | 8777.8 |
937 | 2025-04-29 22:05:12 | warp | 1 | 13983 | 17 | 1.376 | 10162.1 |
936 | 2025-04-27 19:11:58 | warp | 1 | 13983 | 17 | 0.236 | 59250.0 |
935 | 2025-04-27 19:11:21 | warp | 1 | 13983 | 17 | 0.250 | 55932.0 |
934 | 2025-04-25 22:59:37 | warp | 2 | 29872 | 277 | 6.436 | 4641.4 |
933 | 2025-04-25 21:23:56 | warp | 1 | 13983 | 17 | 1.326 | 10545.2 |
932 | 2025-04-22 04:39:40 | warp | 1 | 13983 | 17 | 0.266 | 52567.7 |
931 | 2025-04-20 10:12:20 | warp | 1 | 13983 | 17 | 1.250 | 11186.4 |
930 | 2025-04-17 00:48:23 | warp | 1 | 13983 | 17 | 0.250 | 55932.0 |
929 | 2025-04-16 20:53:34 | warp | 1 | 13983 | 17 | 0.266 | 52567.7 |
928 | 2025-04-16 01:33:39 | warp | 1 | 13983 | 17 | 1.656 | 8443.8 |
927 | 2025-04-06 15:59:04 | warp | 2 | 29872 | 277 | 2.033 | 14693.6 |
926 | 2025-04-06 10:52:31 | warp | 1 | 13983 | 17 | 1.436 | 9737.5 |
925 | 2025-04-05 10:35:32 | warp | 2 | 29872 | 277 | 0.936 | 31914.5 |
924 | 2025-04-03 04:42:45 | warp | 2 | 29872 | 277 | 0.766 | 38997.4 |
923 | 2025-03-30 23:32:36 | warp | 2 | 29872 | 277 | 3.860 | 7738.9 |
922 | 2025-03-29 09:26:43 | warp | 2 | 29872 | 277 | 6.593 | 4530.9 |
921 | 2025-03-28 23:16:24 | warp | 1 | 13983 | 17 | 1.313 | 10649.7 |
920 | 2025-03-28 17:53:39 | warp | 1 | 13983 | 17 | 0.250 | 55932.0 |
919 | 2025-03-28 13:29:13 | warp | 1 | 13983 | 17 | 0.250 | 55932.0 |
918 | 2025-03-25 21:28:19 | warp | 1 | 13983 | 17 | 0.830 | 16847.0 |
917 | 2025-03-20 05:14:02 | warp | 2 | 29872 | 277 | 2.500 | 11948.8 |
916 | 2025-03-19 12:01:10 | warp | 1 | 13983 | 17 | 0.220 | 63559.1 |
915 | 2025-03-14 22:10:11 | warp | 1 | 13983 | 17 | 1.526 | 9163.2 |
914 | 2025-03-11 17:09:28 | warp | 1 | 13983 | 17 | 0.733 | 19076.4 |
913 | 2025-03-07 20:41:04 | warp | 1 | 13983 | 17 | 0.940 | 14875.5 |
912 | 2025-03-06 23:28:37 | warp | 2 | 29872 | 277 | 6.140 | 4865.1 |
911 | 2025-03-06 23:09:22 | warp | 1 | 13983 | 17 | 0.250 | 55932.0 |
910 | 2025-03-06 21:24:41 | warp | 2 | 29872 | 277 | 2.983 | 10014.1 |
909 | 2025-03-05 07:55:00 | warp | 1 | 13983 | 17 | 1.390 | 10059.7 |
908 | 2025-02-28 15:22:48 | warp | 2 | 29872 | 277 | 4.736 | 6307.4 |
907 | 2025-02-25 07:39:06 | warp | 1 | 13983 | 17 | 0.936 | 14939.1 |
906 | 2025-02-25 03:09:50 | warp | 2 | 29872 | 277 | 4.330 | 6898.8 |
905 | 2025-02-25 02:57:56 | warp | 1 | 13983 | 17 | 1.846 | 7574.8 |
904 | 2025-02-25 01:26:14 | warp | 2 | 29872 | 277 | 4.580 | 6522.3 |
903 | 2025-02-23 17:18:28 | warp | 1 | 13983 | 17 | 0.266 | 52567.7 |
902 | 2025-02-21 20:26:40 | warp | 1 | 13983 | 17 | 0.813 | 17199.3 |
901 | 2025-02-19 04:29:49 | warp | 1 | 13983 | 17 | 0.436 | 32071.1 |
900 | 2025-02-17 10:20:18 | warp | 1 | 13983 | 17 | 1.546 | 9044.6 |
899 | 2025-02-16 04:44:06 | warp | 1 | 13983 | 17 | 1.903 | 7347.9 |
898 | 2025-02-16 04:11:30 | warp | 1 | 13983 | 17 | 0.983 | 14224.8 |
897 | 2025-02-13 01:33:16 | warp | 2 | 29872 | 277 | 2.030 | 14715.3 |
896 | 2025-02-07 21:58:53 | warp | 1 | 13983 | 17 | 0.686 | 20383.4 |